title: Application of multistate models in hospital epidemiology: advances and challenges.
abstract: Survival analysis has established itself as a major statistical technique in medical research. Applications in hospital epidemiology, however, are only beginning to emerge. One reason for this delay is that usually complete follow-up of patients in hospital is feasible. This overview discusses where survival techniques provide additional insight into hospital epidemiology, and where they are, in fact, needed even in the absence of right-censoring.
authors.affiliation: Freiburg Centre for Data Analysis and Modelling, University of Freiburg, Eckerstraße 1, Freiburg, Germany. jan@fdm.uni-freiburg.de
authors.forename: Jan
authors.initials: J
authors.lastname: Beyersmann
authors.forename: Martin
authors.initials: M
authors.lastname: Wolkewitz
authors.forename: Arthur
authors.initials: A
authors.lastname: Allignol
authors.forename: Nadine
authors.initials: N
authors.lastname: Grambauer
authors.forename: Martin
authors.initials: M
authors.lastname: Schumacher
mesh_terms: D015331:Cohort Studies; D003428:Cross Infection / Q000175:diagnosis / Q000453:epidemiology*; D004196:Disease Outbreaks; D006761:Hospitals; D006801:Humans; D008390:Markov Chains; D015233:Models, Statistical; D011336:Probability; D011634:Public Health; D012107:Research Design; D012306:Risk; D013223:Statistics as Topic; D013997:Time Factors